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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Li, Xuecheng Hu, Changbin Luo, Shanna Lu, Heng Piao, Zhengguo Jing, Liuming University of Duisburg-Essen Institute for Automatic Control and Complex Systems Duisburg Germany North China University of Technology School of Electrical and Control Engineering Beijing China

ISBN: (纸本)9798350351330

Dynamic (average) consensus-based secondary control (SC) is a common and effective method to achieve distributed voltage recovery and load-sharing for multi-bus microgrids (MGs). However, dynamic consensus requires high communication and update rates, posing a high burden for communication networks, networked sensors, and controllers. Existing selftriggered mechanisms for conventional static average consensus are not suitable for dynamic consensus with exogenous inputs. Therefore, a novel self-triggered dynamic consensus-based SC is proposed in this paper for DC MG with networked sensors to reduce communication and computation burden. Stability of the self-triggered SC is demonstrated via Lyapunov analysis. Switchlevel simulations show that the proposed self-triggered strategy can significantly reduce communication and computation rates of SCs compared to the non-triggered and existing self-triggered strategies, and the proposed SC also demonstrates a faster convergence speed compared with the existing self-triggered SC. © 2024 IEEE.

关键词： Electric loads

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PV Simulator Packaged as a Standalone Application Based Docker Container 8

PV Simulator Packaged as a Standalone Application Based Dock...

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8th International Symposium on electrical and Electronics engineering, ISEEE 2023

作者： Burlibasa, Adriana Paduraru, Romeo Munteanu, Traian Dache, Cristinel Dumitriu, Teodor 'Dunǎrea de Jos' University of Galati Automatic Control and Electrical Engineering Department Galati Romania 'Dunǎrea de Jos' University of Galai Automatic Control and Electrical Engineering Department Galai Romania

ISBN: (纸本)9798350301670

With the new feature MATLAB Compiler™ available starting R2020b Matlab, an application developed in Matlab can be packaged as docker standalone application and deployed using Docker® container service. The target system running the standalone application must be a Linux distribution and requires a MATLAB® Runtime installation and an active docker service. The proposed standalone application is a PV simulator GUI programmatically implemented in Matlab based on two photovoltaic (PV) panels' data sheets. The obtained PV simulator is launched in both MATLAB® environment, where initial was designed and externally in a Linux environment as a standalone application independent of the design program. No differences between the reported results, this proving the possibility of large-scale usability of what was designed. © 2023 IEEE.

关键词： Containers

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EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture

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IEEE Transactions on Affective Computing 2024年第2期16卷 1-18页

作者： PETRESCU, Alexandru TRUICA, Ciprian-Octavian APOSTOL, Elena-Simona PASCHKE, Adrian Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology Politehnica Bucharest Bucharest Romania Fraunhofer Institute for Open Communication Systems Berlin Germany

As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around sharing and discussing current events. Within these communities, users are enabled to share their opinions about each event. Using Sentiment Analysis to understand the polarity of each message belonging to an event, as well as the entire event, can help to better understand the general and individual feelings of significant trends and the dynamics on online social networks. In this context, we propose a new ensemble architecture, EDSAEnsemble (Event Detection Sentiment Analysis Ensemble), that uses Event Detection and Sentiment Analysis to improve the detection of the polarity for current events from Social Media. For Event Detection, we use techniques based on Information Diffusion taking into account both the time span and the topics. To detect the polarity of each event, we preprocess the text and employ several Machine and Deep Learning models to create an ensemble model. The preprocessing step includes several word representation models: raw frequency, TFIDF, Word2Vec, and Transformers. The proposed EDSA-Ensemble architecture improves the event sentiment classification over the individual Machine and Deep Learning models. Authors

关键词： Sentiment analysis

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Open-loop equilibrium seeking in two-agent noncooperative linear-quadratic dynamic game with asymmetric horizon length

Open-loop equilibrium seeking in two-agent noncooperative li...

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作者： Wasa, Yasuaki Tanaka, Taichi Hayakawa, Tomohisa Department of Electrical Engineering and Bioscience Waseda University Tokyo Japan Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan

This article proposes an iterative-based algorithm for open-loop equilibrium seeking in a two-agent noncooperative dynamic game. The finite-horizon dynamic games handled in almost all existing articles assume the common prediction horizon length. From the viewpoint of divergence and differences in personal values, it is socially rational to solve the equilibrium of the games with asymmetric prediction horizon length. We thus propose an open-loop equilibrium-seeking algorithm without the private knowledge of the other agent's horizon information through a receding-horizon linear-quadratic game. Our proposed algorithm is based on iterative optimization. Each agent obtains its own best response control strategy while estimating the other agent's state feedback gain from the state information and guaranteeing the stability of the whole system. We also discuss the performance of the proposed equilibrium-seeking algorithm through numerical examples. © 2023 Chinese automatic control Society and John Wiley & Sons Australia, Ltd.

关键词： Iterative methods

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Unsupervised Learning-Based Methodology for Detection of Postural Anomalies in Wheelchair Users

Unsupervised Learning-Based Methodology for Detection of Pos...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Vermander, Patrick Mancisidor, Aitziber Fortino, Giancarlo Cabanes, Itziar Gravina, Raffaele Department of Automatic Control and System Engineering Bilbao Spain Department of Informatics Modeling Electronics and Systems Engineering Rende Italy

ISBN: (纸本)9798350337020

Postural monitoring in wheelchair users is a topic of growing interest. The detection of changes in the sitting patterns of these patients may serve to detect changes in their functional status and be able to adapt rehabilitation early. For this reason, this paper presents a methodology for the detection of specific postural anomalies that, unlike previous works, adopts unsupervised learning. The proposed methodology involves data dimensionality reduction using Principal Component Analysis, and the application of K-means clustering to group different normal posture states. The anomalies are detected using a threshold approach, where data points that fall outside a certain threshold are considered as anomalies. The results show that the methodology is effective in identifying anomalies with a high degree of accuracy (around 90%). © 2023 IEEE.

关键词： Anomaly detection Kmeans PCA Postural monitoring Wheelchair

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Power and Voltage control Based on DC Offset Injection for Bipolar Low-voltage DC Distribution System

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Journal of Modern Power systems and Clean Energy 2023年第5期11卷 1529-1539页

作者： Xinyi Kong Jianwen Zhang Jianqiao Zhou Jiajie Zang Jiacheng Wang Gang Shi Xu Cai key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Department of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Electronic and Electrical Engineering Shanghai University of Engineering ScienceShanghaiChina School of Mechatronic Systems Engineering Simon Fraser UniversitySurreyBCCanada

The bipolar low-voltage DC(LVDC) distribution system has become a prospective solution to better integration of renewables and improvement of system efficiency and reliability. However, it also faces the challenge of power and voltage imbalance between two poles. To solve this problem, an interface converter with bipolar asymmetrical operating capabilities is applied in this paper. The steady-state models of the bipolar LVDC distribution system equipped with this interface converter in the gridconnected mode and off-grid mode are analyzed. A control scheme based on DC offset injection at the secondary side of the interface converter is proposed, enabling the bipolar LVDC distribution system to realize the unbalanced power transfer between two poles in the grid-connected mode and maintain the inherentpole voltage balance in the off-grid mode. Furthermore, this paper also proposes a primary-side DC offset injection control scheme according to the analysis of the magnetic circuit model, which can eliminate the DC bias flux caused by the secondaryside DC offset. Thereby, the potential core magnetic saturation and overcurrent issues can be prevented, ensuring the safety of the interface converter and distribution system. Detailed simulations based on the proposed control scheme are conducted to validate the function of power and voltage balance under the operation conditions of different DC loads.

关键词： Bipolar low-voltage DC distribution system interface converter DC offset injection unbalanced power voltage balance

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Induction motor speed control performance enhancement using fractional order filters

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International Journal of engineering systems Modelling and Simulation 2025年第3期16卷 161-173页

作者： Hassainia, Saida Ladaci, Samir Kechida, Sihem Khelil, Khaled Department of Electrical Engineering and Automation University of 08 May Guelma1945 Algeria Mohamed Cherif Messaadia University Souk-Ahras Algeria Department of Automatic Control Engineering Ecole Nationale Polytechnique Algiers16200 Algeria University of 8 May Guelma1945 Algeria

This paper proposes a novel methodology for performance enhancement of simple feedback control by means of fractional order filters applied to the speed drive of an induction machine. Three performance indexes are used for this aim namely the integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE). A first order filter in different positions of the control loop is considered in presence of a noise source in order to design the filter configuration. Then, an optimisation of the fractional order filter is realised. Comparative simulation results are given to illustrate the superiority and robustness of the proposed control scheme with regard to integer order filters and unfiltered controllers. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Proportional control systems

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Improving Power Response of Single-controllable VSG-Based Active Distribution Network

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CSEE Journal of Power and Energy systems 2025年第1期11卷 102-114页

作者： Shah Fahad Arman Goudarzi Pierluigi Siano Ji Xiang Department of Electrical and Computer Engineering Missouri University of Science and TechnologyUSA University of Victoria Canada Department of Management&Innovation Systems University of SalernoItaly Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburg2006South Africa National Laboratory of Industrial Control Technology College of Electrical EngineeringZhejiang UniversityHangzhou310058China

controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.

关键词： Cooperative control of DGs hierarchical control system high penetration of intermittent RESs H_(∞)control optimal control in power systems single-controllable active distribution networks

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Nonlinear Identification for control by Using HARMAX Models 9

Nonlinear Identification for Control by Using HARMAX Models

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Culita, Janetta Stefanoiu, Dan Nica, Andreea-Maria University 'Politehnica' of Bucharest Department of Automatic Control and Systems Engineering Romania University 'Politehnica' of Bucharest Faculty of Automatic Control and Computers Romania

ISBN: (纸本)9798350311402

The purpose of this article is to perform a comparison between two identification models: a nonlinear one referred to as HARMAX and a classical linear one, of Box-Jenkins (BJ) type. The first model modifies a classical ARMAX model by applying Hammerstein polynomials on input, output, and noise signals. Identification of models was performed by means of Multi-Step Least Squares Method, as described into the article. The simulations on a real-world plant, namely ASTANK2, a fluidic system with two inputs, two outputs and nonlinear static characteristic, have proven that the HARMAX model performs better than the BJ model and provides more accurate useful models to be integrated into closed loop configurations. © 2023 IEEE.

关键词： Optimization

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Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization 2

Improving Common Spatial Patterns in Brain-Computer Interfac...

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2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2023

作者： Mohamed, Mohamed A.A. Mansour, Salem Soulatiantork, Payam Ang, Kai Keng Soon, Phua Kok Arvaneh, Mahnaz University of Sheffield Automatic Control and Systems Engineering Department Sheffield United Kingdom Singapore

ISBN: (纸本)9798350300802

Common spatial patterns (CSP) is widely employed for spatial filtering and feature extraction in electroencephalogram (EEG)-based brain-computer interfaces (BCIs), However, the non-stationary nature of EEG signals can lead to poor estimation of CSP. To address this drawback, this paper proposes a novel algorithm called scaled and warped CSP (SW-CSP). The proposed algorithm enhances the classical CSP by reducing within EEG class non-stationarity across both time and amplitude domains, followed by automatically selecting the most discriminative features. First, the maximum-minimum scaling is applied to align amplitude of each EEG trial to its class average. Next, dynamic time warping (DTW) temporally aligns each scaled EEG trial to its class average. Thereafter, the scaled and warped EEG trials are used to compute the CSP covariance matrices. Finally, the proposed Fisher's score is used to select most discriminative SW-CSP filters. The proposed SW-CSP algorithm is evaluated using two datasets, and compared with the CSP algorithm and the previously proposed DTW-CSP. The results showed that the SW-CSP significantly outperformed both CSP and DTW-CSP (p © 2023 IEEE.

关键词： brain-computer interface common spatial patterns dynamic time warping EEG Fisher's score non-stationarity

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